Mingxi Cheng

According to our database, Mingxi Cheng authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Unsupervised Graphic Layout Grouping with Transformers.

Jialiang Zhu, Danqing Huang, Chunyu Wang, Mingxi Cheng, Ji Li, Han Hu, Xin Geng, Baining Guo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Unlocking Deep Learning: A BP-Free Approach for Parallel Block-Wise Training of Neural Networks.

Anzhe Cheng, Zhenkun Wang, Chenzhong Yin, Mingxi Cheng, Heng Ping, Xiongye Xiao, Shahin Nazarian, Paul Bogdan

CoRR, 2023

Discovering Malicious Signatures in Software from Structural Interactions.

Chenzhong Yin, Hantang Zhang, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Xin Ren, Paul Bogdan

CoRR, 2023

Leader-Follower Neural Networks with Local Error Signals Inspired by Complex Collectives.

Chenzhong Yin, Mingxi Cheng, Xiongye Xiao, Xinghe Chen, Shahin Nazarian, Andrei Irimia, Paul Bogdan

CoRR, 2023

Neuro-Inspired Hierarchical Multimodal Learning.

Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan

CoRR, 2023

Fractional dynamics foster deep learning of COPD stage prediction.

Chenzhong Yin, Mihai Udrescu, Gaurav Gupta, Mingxi Cheng, Andrei Lihu, Lucretia Udrescu, Paul Bogdan, David M. Mannino, Stefan Mihaicuta

CoRR, 2023

ClipCrop: Conditioned Cropping Driven by Vision-Language Model.

Zhihang Zhong, Mingxi Cheng, Zhirong Wu, Yuhui Yuan, Yinqiang Zheng, Ji Li, Han Hu, Stephen Lin, Yoichi Sato, Imari Sato

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Generation-Based Data Augmentation Pipeline for Real-Time Automatic Gesture Recognition.

Mingxi Cheng, Fatima Zohra Daha, Amit Srivastava, Ji Li

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

2022

Trustworthiness Evaluation and Trust-Aware Design of CNN Architectures.

Mingxi Cheng, Tingyang Sun, Shahin Nazarian, Paul Bogdan

Proceedings of the Conference on Lifelong Learning Agents, 2022

2021

Trust-aware Control for Intelligent Transportation Systems.

Mingxi Cheng, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

A General Trust Framework for Multi-Agent Systems.

Mingxi Cheng, Chenzhong Yin, Junyao Zhang, Shahin Nazarian, Jyotirmoy Deshmukh, Paul Bogdan

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

H₂O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.

Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020

There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks.

Mingxi Cheng, Shahin Nazarian, Paul Bogdan

Frontiers Artif. Intell., 2020

VRoC: Variational Autoencoder-aided Multi-task Rumor Classifier Based on Text.

Mingxi Cheng, Shahin Nazarian, Paul Bogdan

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019

H2O-Cloud: A Resource and Quality of Service-Aware Task Scheduling Framework for Warehouse-Scale Data Centers.

Mingxi Cheng, Ji Li, Paul Bogdan, Shahin Nazarian

CoRR, 2019

2018

High performance training of deep neural networks using pipelined hardware acceleration and distributed memory.

Raghav Mehta, Yuyang Huang, Mingxi Cheng, Shrey Bagga, Nishant Mathur, Ji Li, Jeffrey Draper, Shahin Nazarian

Proceedings of the 19th International Symposium on Quality Electronic Design, 2018

DRL-cloud: Deep reinforcement learning-based resource provisioning and task scheduling for cloud service providers.

Mingxi Cheng, Ji Li, Shahin Nazarian

Proceedings of the 23rd Asia and South Pacific Design Automation Conference, 2018